Instructions to use Praelatus/Futamotu_Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Praelatus/Futamotu_Style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("circlestone-labs/Anima", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Praelatus/Futamotu_Style") prompt = "<lora:Futamotu_AnimaV1:1> @ftmtst, A young woman stands in a classroom setting, wearing a traditional Japanese school uniform. She has short, straight black hair with bangs and a slight blush on her cheeks. Her eyes are large and brown, and she smiles softly at the viewer. She raises her right hand, making a \"peace\" sign with her index and middle fingers. The uniform consists of a dark navy-blue sailor top with a red necktie and matching pleated skirt. A small blue name tag with white text is visible on the left side of her chest. In the background, there are desks with blue chairs and a chalkboard partially visible on the right. The room is dimly lit, creating a warm ambiance." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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